Scan Tool Research Articles

Reducing real driving fuel consumption and emissions with a hydraulic hybrid vehicle

We have successfully prototyped and tested the real-driving performance of a hydraulic hybrid heavy commercial vehicle. Hydraulic hybrid driveline technology was fitted to a Euro IV diesel truck equipped with a diesel particulate diffuser/filter and an exhaust gas recirculation system. An AVL portable emissions measurement system was fitted to the test vehicle to quantify gaseous and particle phase emissions species and an on-board diagnostic scan tool was used to obtain data from the trucks electronic control unit. Fuel consumption savings up to 17 % were accomplished in hydraulic hybrid mode when testing on a short urban driving route featuring a high intensity of stop-start activity. Average reductions in solid particle number concentration of 40 % were achieved along with increases in NOx, Hydrocarbons (THCs) and CO. Future work could target improved control system integration of the various driveline components to further reduce fuel consumption and emissions in an improved prototype design.

Strengthening Linkages Between Health Care and Public Health: A Novel Framework for Public Health Action in Health Care Settings to Improve Cardiovascular Disease Risk.

The Chronic Disease Prevention and Control Program (CDPCP) at the Nebraska Department of Health and Human Services developed a novel public health framework and tools to translate public health knowledge, grant work, and terminology to a health care audience in order to inform clinical practice changes in the management of hyperlipidemia and hypertension. The CDPCP piloted the tools with 2 accountable care organizations that included 19 clinics and then funded 9 independent clinics. The project sought to empower clinics to design and implement interventions for reducing high blood pressure and high blood cholesterol focused on populations disproportionately at risk for those conditions utilizing electronic health records. A team comprising the CDPCP and evaluation specialists created a framework called CAAPIE (Capture, Assess, Action Plan, Implement, Evaluate) to provide a clinic-friendly approach to the public health-focused work. For the capture phase, baseline data were collected from clinics. To guide the assess, action plan, and evaluate phases, the team created a Scan & Plan Tool for clinics to assess practices and policies and then use results to develop an action plan. The assessment was repeated upon completion of the project to evaluate change. Interviews were conducted to assess the utility of these tools and capture information related to the implementation of the project. Clinicians reported the framework and tools provided a useful approach, aiding clinics in understanding public health terminology and intended outcomes of the project. Work resulted in the creation of new or enhanced clinical policies and procedures that led to modest improvements in the management of high blood pressure and high cholesterol. The CAAPIE framework is a novel approach for state health departments to utilize in translating public health grant work to health care professionals, promoting a working relationship between the spheres to achieve positive impacts on individual and population-based health care.

Supporting a systems approach to scaling for all; insights from using the Scaling Scan tool

CONTEXTApproaches to scaling are persistently linear and focus on a single innovation, an innovator to control the scaling process, and a purpose driven by donor accountability. Alternative approaches that better reflect the complexity involved in sustainable development draw on systems thinking theory, but are hardly used. The Scaling Scan tool facilitates the integration of a systems approach to scaling to a broad public. OBJECTIVEThis study draws from almost six years of experience using and adapting the Scaling Scan tool to deepen the theoretical and empirical understanding of what a systems approach to scaling is and what challenges project teams and organizations face to embrace this. METHODSThis study uses data retrieved between 2017 and 2023 from 54 workshops where the Scaling Scan was used to scale innovations for sustainable development. Data were complemented with a literature study and SWOT analysis to understand the use, users, and user adaptations of the Scaling Scan tool. RESULTS AND DISCUSSIONThe Scaling Scans' focus on context, unintended consequences and the facilitation of collective understanding and collective action are important components of a systems approach to scaling. Multiple adaptations to the tools have been made by users to facilitate even more collective understanding. However, the early focus on “the” innovation to scale and the intrinsic assumption that this innovation addresses a key root cause or leverage point in the system risks to perpetuate a linear approach to scaling. The scoring of the scaling ingredients show a tendency to focus on familiar disciplines (mostly technical), limiting progression beyond a “bigger pilot” and engage with what or who is required for innovations to contribute to large scale change, such as market and public support. Transitioning from a linear to a systems approach to scaling is challenging because business models of research organizations depend on high adoption of “their” innovations. We find that, there are far-reaching implications of embracing a systems approach to scaling which not everyone may want or can accept. SIGNIFICANCEWe can no longer assume that complex systemic problems such as hunger and poverty will be solved by having more of an innovation. Yet this is still the dominant approach for research for development organizations to contribute to the Sustainable Development Goals. The experience with the Scaling Scan contributes to a deeper understanding of the role of tools to facilitate the integration of systems thinking in innovation and scaling initiatives aimed at sustainable development.

Demonstration of Autonomous Emittance Characterization at the Argonne Wakefield Accelerator

Transverse beam emittance plays a key role in the performance of high-brightness accelerators. Characterizing beam emittance is often carried out using a quadrupole scan, which fits beam matrix elements to experimental measurements using first-order beam dynamics. Despite its simplicity at face value, this procedure is difficult to automate due to practical limitations. Key issues that must be addressed include maintaining beam size measurement validity by keeping beams within the radius of diagnostic screens, ensuring that measurement fitting produces physically valid results, and accurately characterizing emittance uncertainty. We describe a demonstration of the Bayesian exploration technique towards solving this problem at the Argonne Wakefield Accelerator, enabling a turn-key, autonomous quadrupole scan tool that can be used to quickly measure beam emittances at various locations in accelerators with limited operator input.

“I think this could be a big success” – A mixed methods study on practitioner perspectives on the acceptance of a virtual reality tool for preparation in MRI

IntroductionA key part of a radiographer's role within MRI is providing the required emotional support to help patients succeed with a scan. Being informed is important; whilst information leaflets and videos are commonly used, these can be limited in their representation of the experience. Virtual reality tools are being shown to reasonably replicate a scan experience, having a positive impact on patient satisfaction and anxiety. The aim was to obtain the views of practitioners on the use and implementation of such a tool in practice. MethodsA mixed methods study was conducted looking at the use of a virtual scan experience for patients prior to MRI. Nine radiographers attended two focus group sessions to see the tool and undergo a virtual experience. Following this, a survey based on the technology acceptance model was completed along with a semi-structured discussion about its use. ResultsPerceived usefulness, ease of use, attitude and intention to use were all positive towards the virtual scan tool. All practitioners saw value in such a tool and how it could be implemented within practice, highlighting areas for improvement and development. ConclusionThe practitioner's perspective was that access to such a virtual scan experience could be of use to better prepare and support those patients needing extra support before a real scan. Acknowledgement of having time to discuss patient concerns was noted and this could provide a means of doing so away from busy scanning lists whilst not taking up additional time. Implications for practiceUse of VR tools could be a conduit through which trust and rapport are built in advance away from busy scanning lists, thereby not impacting on operational throughput and hindering efficiency.

TIMP3 Gene Polymorphisms of -1296 T > C and -915 A > G Increase the Susceptibility to Arsenic-Induced Skin Cancer: A Cohort Study and In Silico Analysis of Mutation Impacts

Long-term exposure to arsenic may induce several human cancers, including non-melanoma skin cancer. The tissue inhibitor of metalloproteinase (TIMP)-3, encoded by the TIMP3 gene, may inhibit tumor growth, invasion, and metastasis of several cancer types. In this study, we aimed to investigate effects of the TIMP3 -1296 T > C (rs9619311) and -915 A > G (rs2234921) single-nucleotide polymorphisms (SNPs) on skin cancer risk in an arsenic-exposed population, and to evaluate the influence of allele-specific changes by an in silico analysis. In total, 1078 study participants were followed up for a median of 15 years for newly diagnosed skin cancer. New cases were identified through linkage to the National Cancer Registry of Taiwan. A Cox regression analysis was used to evaluate the effects of TIMP3 variants. Transcription factor (TF) profiling of binding sites of allele-specific changes in SNPs was conducted using the JASPAR scan tool. We observed borderline associations between TIMP3 genotypes and skin cancer risk. However, when combined with high arsenic exposure levels, the rs9619311 C allele, rs2234921 G allele, or C-G haplotype groups exhibited a greater risk of developing skin cancer compared to the respective common homozygous genotype group. The in silico analysis revealed several TF motifs located at or flanking the two SNP sites. We validated that the C allele of rs9619311 attenuated the binding affinity of BACH2, MEIS2, NFE2L2, and PBX2 to the TIMP3 promoter, and that the G allele of rs2234921 reduced the affinity of E2F8 and RUNX1 to bind to the promoter. Our findings suggest significant modifications of the effect of the association between arsenic exposure and skin cancer risk by the TIMP3 rs9619311 and rs2234921 variants. The predicted TFs and their differential binding affinities to the TIMP3 promoter provide insights into how TIMP3 interacts with arsenic through TFs in skin cancer formation.

Application Of Dynamic Segmentation In Stroke Detection Software With ANN

One way to find out whether there is a stroke is to do a CT scan . But the results of the examination with a new CT scan can be obtained in quite a long time. In addition, sometimes there are differences of opinion between doctors and radiologists regarding what is seen from the results of the examination. This research was conducted to produce a software that can later be integrated with the existing system on the CT Scan tool so that it can immediately be known whether or not stroke is present from the CT Scan results. In this study, a dynamic image segmentation method is implemented, namely the watershed transformation method which will later produce regions as a feature for the stroke detection process carried out with the backpropagation algorithm. From experiments conducted on CT scan images of the brain, this method can detect stroke well. The results obtained are 100% for training data and 90% for test data.

The Inclusive Professional Framework for Societies: Changing Mental Models to Promote Diverse, Equitable, and Inclusive STEM Systems Change.

Science, technology, engineering, and mathematics (STEM) professional societies (ProSs) are uniquely positioned to foster national-level diversity, equity, and inclusion (DEI) reform. ProSs serve broad memberships, define disciplinary norms and culture, and inform accrediting bodies and thus provide critical levers for systems change. STEM ProSs could be instrumental in achieving the DEI system reform necessary to optimize engagement of all STEM talent, leveraging disciplinary excellence resulting from diverse teams. Inclusive STEM system reform requires that underlying “mental models” be examined. The Inclusive Professional Framework for Societies (IPF: Societies) is an interrelated set of strategies that can help ProSs change leaders (i.e., “boundary spanners”) and organizations identify and address mental models hindering DEI reform. The IPF: Societies uses four “I's”—Identity awareness and Intercultural mindfulness (i.e., equity mindset) upon which inclusive relationships and Influential DEI actions are scaffolded. We discuss how the IPF: Societies complements existing DEI tools (e.g., Women in Engineering ProActive Network's Framework for Promoting Gender Equity within Organization; Amplifying the Alliance to Catalyze Change for Equity in STEM Success' Equity Environmental Scan Tool). We explain how the IPF: Societies can be applied to existing ProS policy and practice associated with common ProS functions (e.g., leadership, membership, conferences, awards, and professional development). The next steps are to pilot the IPF: Societies with a cohort of STEM ProSs. Ultimately, the IPF: Societies has potential to promote more efficient, effective, and lasting DEI organizational transformation and contribute to inclusive STEM disciplinary excellence.

EVALUATION OF THE USE OF MINERAL-PLUS ON PRODUCTION PERFORMANCE AND MILK QUALITY OF FRIESIAN HOLSTEIN CROSSBREED DAIRY COWS

Complementary feed or feed supplement is a feed ingredient that is added to animal feed to complement the nutritional content of feed in meeting the needs of livestock. Feed supplements are additional feed ingredients intended to add nutrients to animal feed, where the added nutrients are digested or help the digestive process. This study aims to evaluate the use of mineral-plus as a feed mixture for dairy cows on the appearance of milk production and quality. The used material with carried out on 30 lactating cows 1-3. 250 ml milk samples from the morning and evening milking of each cow were analyzed for milk quality analyzed with a Milk scan tool. The mineral added to the concentrate feed is 2% with the mineral composition in the form of a mixture of several macro, micro and herbal. The variables observed included feed consumption, milk production and quality (specific gravity, fat content, protein content, total solid content and pH value) of PFH dairy cows and the data were analyzed using descriptive statistical methods. The results showed that the average consumption of forage feed was 48.83 kg/head/day and concentrate was 13.42 kg/head/day. The average high milk production is 35.46 liters/head/day. The average quality of milk which includes fat content is 6.39%, SNF content is 8.13%, total solid is 14.48%, specific gravity is 1.0233, protein content is 4.57%, lactose content is 3.97 % and the pH value of milk is 6.48.This study shows that cow's milk production and quality is at a very high level above the average production of Friesian Holstein crossbreed cows.

Risk factors for cage subsidence and clinical outcomes after transforaminal and posterior lumbar interbody fusion.

Cage subsidence is a very common complication after lumbar interbody fusion. It may compromise vertebral interbody fusion through progressive spinal deformity and consequently cause compression of neural elements. Clinical relevance remains, however, unclear, with few studies on this subject and even less information regarding its correlation with clinical findings. The aim of this study was to identify risk factors for cage subsidence and clinical evaluation after transforaminal (TLIF) and posterior (PLIF) lumbar interbody fusion. A retrospective study in patients submitted to TLIF and PLIF between 2008 and 2017 was conducted. A total of 165 patients were included (123 TLIF and 42 PLIF). Univariate analysis showed an increased risk of cage subsidence in spondylolisthesis comparing with degenerative disk disease (p = 0.007). A higher preoperative lumbar lordosis angle (p = 0.014) and cage placement in L2-L3 (p = 0.012) were associated with higher risk of subsidence. The posterior cage positioning on vertebral endplate was associated with a higher risk of subsidence (p = 0.028) and significant subsidence (p = 0.005), defined as cage migration > 50% of cage height. PLIF presented a higher risk when comparing with TLIF (p = 0.024). Hounsfield unit (HU) values < 135 (OR6; 95% CI [1.95-34]) and posterior positioning (OR7; 95% CI [1.7-27.3]) were independent risk factors for cage subsidence and significant subsidence, respectively, in multivariate analysis. There was a tendency for significant subsidence in degrees ≥ 2 of Meyerding spondylolisthesis (OR4; 95% CI [0.85-21.5]). Significant cage subsidence was not associated with worse clinical results. Other analyzed factors, such as age (p = 0.008), low bone mineral density (BMD) (p = 0.029) and type of surgery (TLIF) (p = 0.004), were associated with worse results. The present study shows that lower BMD and posterior cage positioning are relevant risk factors for lumbar cage subsidence. Low BMD is also a predictor of poor clinical results, so it must be properly evaluated and considered, through HU values measurement in CT scan, a feasible and reliable tool in perioperative planning.

Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors

A deep understanding of driver behavior is an important step to improve road safety and environmental performance. Volatility can be defined as the extent of variations in driving, which can be characterized by accelerations/braking, lane change, and unusual high speed for roadways conditions. There is a lack of knowledge on what concerns the relationship between driver’s volatility and exhaust emissions and how driving volatility can be used as safety eco-indicator. This article explores a driving volatility concept for assessing tailpipe emissions and driving behavior classification. For that purpose, an empirical approach that combined vehicle activity and emission rates for light duty vehicles was used. Field measurements were collected from four probe vehicles in one partly urban/rural, and two highway routes using Portable Emission Measurement Systems, Global Positioning System receivers, and On-board Diagnostic scan tool, to measure real-world tailpipe emissions, position and engine activity data. Acceleration-based parameters, including relative positive acceleration and mean of positive acceleration, acceleration, vehicular jerk, and power demand thresholds were used to detect differences in emissions for different driving styles. Results indicated that vehicular jerk impacted carbon dioxide and nitrogen oxides per unit distance regardless of driving style and route type, especially from negative to null jerk values and during positive accelerations. There is potential to incorporate the analyzed thresholds into a driver decision support algorithm by considering safety and environmental aspects through warning messages.

On the Expansion of On-Board Diagnostics (OBD) to Electric Propulsion Systems in Battery Electric Vehicles

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Currently the On-Board Diagnostics (OBD) requirements enforced by government agencies do not cover electric vehicles. Although the California Air Resources Board (CARB) mandates all light and medium duty vehicles and heavy duty engine dynamometer certified engines equipped with fossil fuel-powered engines, including all hybrid vehicles, must follow the OBD requirements in California Code of Regulation (CCR) 1968.2 and 1971.1, Battery Electric vehicles (BEVs), are exempted from OBD requirements. The legislators, such as CARB, have started to make proposals for on-board systems to monitor electric propulsion system health. In addition, there may be customer needs to obtain standard vehicle service information and the Original Equipment Manufacturers (OEMs) may also have the desire for common diagnostic strategies across different vehicle applications to lower the development costs. This paper, different from other published technical papers or proposals from OEMs or government agencies, analyzes the feasibility and compatibility of the existing OBD system design requirements, and aligns them with the need of industrial-common OBD system architecture and existing/upcoming SAE standards to propose the monitoring and reporting requirements on the identified primary propulsion system components/systems from technical point of view. This study makes some key technical proposals/solutions for the possible use of OBD-like monitoring and reporting requirements for Electric Propulsion Systems, including, what are the monitoring requirements, what is to be monitored, what are the malfunction indicator light (MIL) illumination requirements, and what are the generic scan tool (GST) interface requirements that are based on J1979-2 (i.e., Unified Diagnostic Services -UDS) to facilitate the repair service by technicians, including from independent service shops.&lt;/div&gt;&lt;/div&gt;

ACCURACY OF ALLEN SCORE IN PREDICTING STROKE TYPE

Background: Stroke is an emergency condition that can cause a decrease in nerve function that is affected by injuries to the central nervous system. The initial examination is needed by nurses to find out the type of stroke that can determine the right treatment and quickly. Determination of the type of stroke is done by using a CT scan tool that has limited facilities in some hospitals, so we need a tool in the form of a stroke scoring that can be used. Aim: This study aims to determine the accuracy of Allen's score in predicting the type of stroke in patients Methods: This study uses an observational analytic method with a cross-sectional design. The sample selection uses purposive sampling with the number of respondents as many as 100 stroke patients. Observations were made using the Allen score. Results: The results showed 100 patients. Demographic characteristics of patients who have the most strokes are men, the age group that has the most strokes is 54-64 years, working privately. The sensitivity, specificity, NPP, NPN, and accuracy of Allen scores were 98.6%, 100%, 100%, 96%, and 99.0% in predicting the type of ischemic stroke. Whereas in predicting the type of hemorrhagic stroke, sensitivity, specificity, NPP, NPN, and accuracy are 83.3%, 92.6%, 71.4%, 96.2%, and 91%. Conclusion: Determining the type of stroke quickly and precisely, help is needed by using stroke scoring that can be done by nurses as a basis for providing collaborative care inpatient management.

Optimalisasi Digitalisasi Arsip pada Kantor Mahkamah Syar’iyah

This study aims to determine the management of digital archives at the Syar'iyah Court Office of East Aceh Regency, Indonesia, as well as finding obstacles encountered in their implementation. This research is a qualitative analysis where the subjects of this research were officers who managed digital archives at the Syar'iyah Court office. The data collection techniques employed were interviews, observations, and documentation. The results of this study indicate that the management of digital archives at the Syar'iyah Court Office has not been implemented optimally due to three conditions, namely: 1) The creation of digital archives is hampered due to frequent power outages in East Aceh and Sarana districts which are less supportive, and lack of resources. employees who understand digital archiving issues; 2) The process of borrowing archives carried out at the Syar'iyah Court Office has not been going well because it has not used archive lending procedures such as requesting archives, searching, retrieval of archives, recording, controlling, and storing again, to prevent loss of records; 3) Archive rediscovery still takes quite a long time, ranging from 20 to 30 minutes. The management of digital archives at the Office of the Syar'iyah Idi Court of East Aceh Regency should be improved by proposing additional archiving facilities, namely the latest model scan tool and additional employees who handle digital archive issues.

124I-PET/CT-Guided Diagnosis and Personalized Treatment of Metastatic Papillary Thyroid Cancer to the Pancreas.

Metastasis to the pancreas from differentiated thyroid carcinoma is rare. A new pancreatic lesion was identified on surveillance imaging of a man with metastatic papillary thyroid carcinoma 7 years after initial diagnosis. Imaging with 124I-PET/CT was performed to noninvasively confirm metastatic thyroid cancer and provide prospective dosimetry to guide selection of a safe and effective administered activity of 131I. This case demonstrates the emerging role of 124I-PET/CT as a useful diagnostic scan, pretherapy scan, and dosimetric tool to deliver personalized therapy for patients with metastatic thyroid cancer.

VSSAgri: A Vegetation Surveillance System for precision Agriculture application

The integration of low-cost systems in precision agriculture applications has shown great benefits, both in terms of the variety of applications and the tools used. In this paper, we present a monitoring platform for agricultural applications based on low-cost systems—also, a review on the different applications of precision agriculture. The proposed platform contains a guidance system based on stepper motors, as well as an embedded architecture for processing the various applications. The guidance system helps to drive the system in the vertical axis for multispectral camera processing. The guidance system helps to move the system in the vertical axis for processing multispectral cameras and in the horizontal axis for the movement of the two bars that will support the system. This platform was inspired by the principle of the scanner, which aims to extract all the information by sliding the scan tool. In the same way, in our case, the sliding will allow us to process the whole agricultural field. The platform proposed in this work has shown that it can be used in different types of the greenhouse, as well as for all types of applications.

Impacts of roundabouts in suburban areas on congestion-specific vehicle speed profiles, pollutant and noise emissions: An empirical analysis

Increasing concern about global warming and air quality has meant an increasing use of energetic and environmental indicators in roundabout design. This research compares different suburban roundabouts in terms of traffic performance, pollutant and noise emissions through an integrated empirical assessment. Field measurements were carried out with a light duty vehicle in single-lane (SL), compact two-lane (CTL) and multi-lane (ML) roundabouts using Portable Emission Measurements Systems, On-Board Diagnostic scan tool and Sound Level Meter, to measure real-world exhaust emissions, engine activity and acoustic data, respectively. Afterwards, predictive discrete choice models that correlate the probability of occurrence of speed profiles (no stop, stop once and multiple stops) with roundabout operational parameters were developed. Although SL yielded the lowest carbon dioxide (CO2) per vehicle, a high equivalent continuous A-weighted sound level (LAeq) was returned because vehicles drove at moderate speeds in the approach and low conflicting traffic was identified when compared to the other layouts. CTL was the worst option in terms of both CO2 and nitrogen oxides (NOx). The proposed methodology can be used to quantify the performance of roundabout layouts in suburban areas by simply identifying their traffic volumes, noise level, pollutant emission and representative speed profiles. This can help researchers, traffic planners or practitioners to reduce congestion and emissions, and enhance road traffic management near urban areas.

A Novel Computed Tomography Scan Tool for Patient Selection in Minithoracotomy Aortic Replacement

Right anterior minithoracotomy is gaining larger acceptance for isolated aortic valve replacement. In some patients, however, surgical exposure during the intervention may be challenging even for experienced surgeons or centers. In our opinion, proper preoperative selection of the patients by computed tomography scan seems mandatory. We routinely perform right anterior minithoracotomy, and over time, we have found that the angle between the right border of the sternum and the left side of the aorta, at the level of the pulmonary artery, helps with patient selection.

Fabrication of structurally colored basso-relievo with modulated elliptical vibration texturing

Elliptical vibration texturing is a newly arising method for the fast and cost-effective generation of near-subwavelength micro-structures on metal surfaces. This study proposes a fabrication method for structurally colored basso-relievo by combining the surface sculpturing and elliptical vibration texturing in one-step machining. Synergistic modulations of both nominal cutting speed and depth-of-cut (DOC) in elliptical vibration texturing are applied to provide concave-convex topography and structural coloration. A new rendering strategy for the face turning configuration with an equidistant spiral tool path has been presented to improve the image rendering efficiency over the raster scan tool path. In addition, different from the conventional elliptical vibration texturing, the nominal DOC dynamically changes pixel by pixel in the proposed new process. In order to identify the effects of DOC and elliptical vibration trajectories on the surface quality and fidelity of generated gratings, grooving experiments have been conducted on brass samples to further the understanding of nonlinear tool-workpiece interactions. Finally, both raster scan and face turning tests have been performed on an ultraprecision platform with optimized process parameters. Structurally colored basso-relievos with high quality have been successfully demonstrated using the proposed fabrication method.

Scaling agricultural mechanization services in smallholder farming systems: Case studies from sub-Saharan Africa, South Asia, and Latin America

There is great untapped potential for farm mechanization to support rural development initiatives in low- and middle-income countries. As technology transfer of large machinery from high-income countries was ineffective during the 1980s and 90s, mechanization options were developed appropriate to resource poor farmers cultivating small and scattered plots. More recently, projects that aim to increase the adoption of farm machinery have tended to target service providers rather than individual farmers. This paper uses the Scaling Scan tool to assess three project case studies designed to scale different Mechanization Service Provider Models (MSPMs) in Mexico, Zimbabwe, and Bangladesh. It provides a useful framework to assess the gap between international lessons learned on scaling captured in forty tactical questions over ten “scaling ingredients” as perceived by stakeholders involved in the projects, as well as private sector actors and government employees. Although at first sight the case studies seem to successfully reach high numbers of end users, the assessment exposes issues around the sustainable and transformative nature of the interventions. These are highly influenced by the design of the projects and by the environment and context of the intervention areas. Across the three case studies, large-scale adoption of the models was found to be hampered by lack of finance to set up MSPMs and insufficient collaboration among the value chain actors to strengthen and foster Mechanization Service Provider (MSP) entrepreneurs. Applying a scaling perspective on each case study project exposed important lessons on minimizing project dependencies. Positive examples include integration of capacity development materials in vocational training centers in Zimbabwe, promotion of MSPMs by other donors in East Africa and levering of nearly USD six million of private sector investment in appropriate machinery in Bangladesh. On the other hand, there is still a high dependency on the projects in terms of coaching of service providers, facilitating collaboration along the value chain, and provision of leadership and advocacy to address issues at governance level. These results have important implications for similar development interventions aimed at increasing smallholder access to mechanization services at scale and is to our knowledge the first cross-continental assessment of these issues to date.